Kim, Y., Riloff, E., & Meystre, S. M. (2017). Exploiting Unlabeled Texts with Clustering-based Instance Selection for Medical Relation Classification (pp. 1060–1069). Presented at the…
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The "Unstructured Clinical Data Reuse for Precision Medicine" Workshop organized at the Medinfo 2017 conference in Hangzhou, China, was a great success. Taking place on…
Meystre, S. M., & Doing-Harris, K. (2017). Semi-automated Ontology Development and Management System Applied to Medically Unexplained Syndromes in the U.S. Veterans Population. Artificial Intelligence…
Stéphane Meystre organized a tutorial with Meliha Yetisgen, Scott DuVall, and Hua Xu at the AIME (Artificial Intelligence in Medicine) conference, in Vienna. This tutorial…
Meystre S, Gouripeddi R, Tieder J, Simmons J, Srivastava R, Shah S. Enhancing Comparative Effectiveness Research With Automated Pediatric Pneumonia Detection in a Multi-Institutional Clinical…
Meystre SM, Lovis C, Bürkle T, Tognola G, Budrionis A, Lehmann CU. Clinical Data Reuse or Secondary Use: Current Status and Potential Future Progress. Yearb…
Kim, Y., Garvin, J. H., Goldstein, M. K., Hwang, T. S., Redd, A., Bolton, D., et al. (2017). Extraction of Left Ventricular Ejection Fraction Information…
Stephane Meystre moved from the University of Utah to the Medical University of South Carolina (MUSC) and Health Sciences South Carolina in August 2016. He was awarded…
In the context of the POET project led by John Hurdle, we are developing and evaluating methods to detect abbreviations and acronyms in clinical text,…
The structure of clinical documents, and more specifically their sections, have a strong importance when assessing the context of clinical information extracted from clinical documents.…